LR087 Deep Learning Microservices Engineer III

Deep Learning Microservices Engineer III, under adequate supervision, helps in deep learning platforms for specific types of programming tasks related to artificial intelligence. Creates microservices applications that operate with deep learning systems capable of self-learning without human direction. Develops systems that can transfer data effectively using machine learning algorithms. Uses deep learning techniques to build complex computer vision applications. Proficient in the use of technologies such as OpenCV, Python, and NumPy. Understands the technical working of major commercial speech recognition systems such as Microsoft Cortana, Xbox, Skype Translator, Amazon Alexa, Goggle Now, Apple Siri, and so on, and capable of making similar products. Trains and retrains microservices systems as required, and run machine learning tests and experiments to ensure quality assurance. Capable of creating practical applications such as face detection and recognition, handwriting recognition, object detection, motion detection systems, including tracking devices. Writes and reviews lines of programming codes using a range of programming languages, including Java, PHP, HTML, Python, C, C++, and so on. Researches and implements appropriate ML algorithms and tools to meet organizational requirements. Has full understanding of various deep learning methods, including Convolutional Neural Network, Recurrent Neural Network, Long-short term, Auto Encoders (Denoising autoencoder, stacked autoencoder, variational autoencoder, sparse autoencoder), and Generational Adversarial network. Maintains continuous learning and research in the field of artificial intelligence to get current and up-to-date technological knowledge. May have a Bachelor’s degree in Computer science, Mathematics, or any other related field, with with experience in Information Communication Technology, microservices application development, and so on. Has 11 or more years of experience in a related field. Works under the supervision of Senior Deep Learning Microservices Engineer. Works under the supervision of the Senior Deep Learning Microservices Engineer. Communicates data and project requirements to other developers working with the team to meet the needs of a massive variety of end users and stakeholders of the organization.